On the functional local linear estimate for spatial regression

DOI10.1524/strm.2012.1114zbMath1252.62095OpenAlexW30670674MaRDI QIDQ2909816

Abdelhak Chouaf, Ali Laksaci

Publication date: 6 September 2012

Published in: Statistics & Risk Modeling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1524/strm.2012.1114

zbMATH Keywords

utility maximizationdual methodconsumption processexponential Ornstein-Uhlenbeck process

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to environmental and related topics (62P12)

Related Items (5)

Local linear estimate of the point at high risk: Spatial functional data case ⋮ Spatial local linear estimation of the L₁-conditional quantiles for functional regressors ⋮ On the local linear estimation of a generalized regression function with spatial functional data ⋮ k‐Nearest neighbors local linear regression for functional and missing data at random ⋮ Asymptotic normality of the local linear estimation of the conditional density for functional time-series data

Cites Work

• Local linear spatial quantile regression
• Nonparametric estimation of conditional quantiles for functional and spatial dependent variables
• Kernel regression estimation for random fields
• Kernel density estimation on random fields
• Nonparametric estimation of conditional expectation
• Local linear regression for functional predictor and scalar response
• Robust nonparametric estimation for spatial regression
• Local smoothing regression with functional data
• Estimating some characteristics of the conditional distribution in nonparametric functional models
• Rate of uniform consistency for nonparametric estimates with functional variables
• Spatial kernel regression estimation: weak consistency
• Nonparametric spatial prediction
• Local linear spatial regression
• Nonparametric regression for functional data: automatic smoothing parameter selection
• Kernel Conditional Density Estimation When the Regressor is Valued in a Semi-Metric Space
• L₁-estimation for spatial nonparametric regression
• Locally modelled regression and functional data
• KERNEL REGRESSION SMOOTHING OF TIME SERIES
• Kernel density estimation for random fields: TheL₁Theory
• Functional data: local linear estimation of the conditional density and its application

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